from __future__ import annotations




class 					_UpperCAmelCase			:



 '''simple docstring'''




 def __init__(		self				:   Optional[int]							, lowercase_				:   int)						->	None:


   """simple docstring"""







   _UpperCamelCase           =    data
   _UpperCamelCase           =    None
   _UpperCamelCase           =    None


def 				lowerCAmelCase__       (			a__ )      ->None:  # In Order traversal of the tree




  '''simple docstring'''

  if tree:
    display(tree.left )
    print(tree.data )
    display(tree.right )


def 				lowerCAmelCase__       (			a__ )      ->int:




  '''simple docstring'''

  return 1 + max(depth_of_tree(tree.left )    ,     depth_of_tree(tree.right ) ) if tree else 0


def 				lowerCAmelCase__       (			a__ )      ->bool:




  '''simple docstring'''

  if not tree:
    return True
  if tree.left and tree.right:
    return is_full_binary_tree(tree.left ) and is_full_binary_tree(tree.right )
  else:
    return not tree.left and not tree.right


def 				lowerCAmelCase__       (			)      ->None:  # Main function for testing.




  '''simple docstring'''

  _UpperCamelCase           =    Node(1 )
  _UpperCamelCase           =    Node(2 )
  _UpperCamelCase           =    Node(3 )
  _UpperCamelCase           =    Node(4 )
  _UpperCamelCase           =    Node(5 )
  _UpperCamelCase           =    Node(6 )
  _UpperCamelCase           =    Node(7 )
  _UpperCamelCase           =    Node(8 )
  _UpperCamelCase           =    Node(9 )

  print(is_full_binary_tree(a__ ) )
  print(depth_of_tree(a__ ) )
  print("Tree is: " )
  display(a__ )


if __name__ == "__main__":
   main()





from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
   from .pipeline_kandinsky import KandinskyPipeline
   from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
   from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
   from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
   from .text_encoder import MultilingualCLIP




